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Authors: Tanko Ishaya 1 and Julian Rigneau 2

Affiliations: 1 The University of Hull, United Kingdom ; 2 Tifauve, France

Keyword(s): Customer Relationship Management, Data quality, Data metrics, Data mining and e-Commerce.

Related Ontology Subjects/Areas/Topics: B2B, B2C and C2C ; B2C/B2B Considerations ; Business and Social Applications ; Communication and Software Technologies and Architectures ; e-Business ; Enterprise Information Systems ; Market-Spaces: Market Portals, Hubs, Auctions ; Process Design and Organisational Issues in E-Commerce ; Public Sector Applications of E-Commerce ; Society, e-Business and e-Government ; Software Agents and Internet Computing ; Web Information Systems and Technologies

Abstract: The quality of web data has become a critical concern for organisations and it has been an active area of Internet Computing research. Despite its importance and many years of active research and practice, the field still require ways for its assessment and improvement. This paper presents a framework for assessing the quality of customer web data and a well defined set of metrics for quantifying its quality. A prototype has been designed and implemented to demonstrate the usefulness of the data lifecycle and metrics for assessing the quality of customer data.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Ishaya, T. and Rigneau, J. (2007). DATA QUALITY FOR EFFECTIVE E-COMMERCE CUSTOMER RELATIONSHIP MANAGEMENT. In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 5: ICEIS; ISBN 978-972-8865-91-7; ISSN 2184-4992, SciTePress, pages 92-100. DOI: 10.5220/0002387100920100

@conference{iceis07,
author={Tanko Ishaya and Julian Rigneau},
title={DATA QUALITY FOR EFFECTIVE E-COMMERCE CUSTOMER RELATIONSHIP MANAGEMENT},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 5: ICEIS},
year={2007},
pages={92-100},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002387100920100},
isbn={978-972-8865-91-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 5: ICEIS
TI - DATA QUALITY FOR EFFECTIVE E-COMMERCE CUSTOMER RELATIONSHIP MANAGEMENT
SN - 978-972-8865-91-7
IS - 2184-4992
AU - Ishaya, T.
AU - Rigneau, J.
PY - 2007
SP - 92
EP - 100
DO - 10.5220/0002387100920100
PB - SciTePress